
Legends of Dragaea: Idle Dungeons
Blast Programming · GIGATANK 3000 · 2025-11-03
AdventureCasualIndieRPGSimulation
Modes: Single player
Releases: Nov 03, 2025 (PC (Microsoft Windows)), Nov 03, 2025 (Linux)
Legends of Dragaea: Idle Dungeons is a First Person Idle Dungeon Crawler with 9 unique races, robust combat, a grand saga spanning a continent full of unique dungeons, a classless skill system, and extensive guild management system to master as you uncover the secrets of the world of Dragaea!
Health check
- · 68 reviews in the last 8 weeks (~9/week).
- · Review velocity up 84% vs the prior 8 weeks.
- · Current weekly pace is under 5% of the all-time peak week (311 reviews).
- · Top 31% of 11,362 Adventure games in the census by review count.
Review-multiple estimate from 977 total reviews — how this is computed.
All-time low: $6.99 at Steam (2026-07-25)via IsThereAnyDeal
12-month high $9.99 · on sale 6 of 16 observed days (census price snapshots)
Review momentum
Price history
Completion
- · 97.9% of players earned Builder
- · 65.5% of players earned Town Helper
- · 0.5% of players earned Polytheist
Global achievement rates from Steam.
Details
4 supported languages: English, Japanese, Simplified Chinese, Traditional Chinese
Console footprint
| Platform | Players tracked | Completion | Trophies/achievements |
|---|---|---|---|
| Steam (Steam) | 1,414 | 2% | 58 |
Players tracked by Exophase (achievement/trophy trackers) — a sample of the player base, not total sales.
Census log
- 2025-11-03First review activity on record (week of 2025-11-03).
- 2025-11-03Biggest review week on record: 311 reviews (week of 2025-11-03).
Computed from census-recorded observations only — dates are observation dates.
Recent updates
- 2026-08-15v2.0.9 PATCH NOTES
- 2026-08-06v2.0.8b HOTFIX
- 2026-08-05v2.0.8 Expedition Fix and Item Gen Optimization
Players also track
Wanderlust AdventuresOmensight: Definitive EditionWeapon Shop FantasyEternity: The Last UnicornDungeon Of Dragon KnightCHANGE: A Homeless Survival ExperienceTorchlight III
Similarity via IGDB.